2026
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models
AAAI 2026technical
Large language models (LLMs) have achieved remarkable success in many domains, but concerns about data quality and privacy are growing. Federated Learning (FL) offers a privacy-preserving solution by training a model on local clients without sharing data. However, the impact of biased private data o